The vision-based hand gesture recognition using blob analysis

As technology becomes the part of human life for decades, the relationship between human and computer called human-computer interaction (HCI) is important to study for improving the system to serve the human need. HCI can be applied in various areas including medical system which is valuable for the elder who is not able to walk or express the feelings by words. The intuitive approach is the development of algorithm by using hand gestures. This paper proposes a dynamic hand gesture recognition algorithm for elder people. The algorithm implements in a vision-based hand gesture recognition using optical flow and blob analysis to track six dynamic hand gestures and classify their meanings. The experiment provided good results for all six hand gestures in detection, tracking, and classification procedures.